Intermediate Future Forecasting System-Executive Summary
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Intermediate Future Forecasting System-Executive Summary

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Published by Energy Information Administration .
Written in English


  • Fuel.,
  • Electric utilities--Forecasting.,
  • Natural gas--Marketing.

Book details:

Edition Notes

StatementShaw, S.
The Physical Object
Pagination34 p. $0.00 C.1.
Number of Pages34
ID Numbers
Open LibraryOL17585926M

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Authors provide a list of symptoms and issues with forecasting. For example, managers may believe too deeply in forecasting. To be noted an excellent and comprehensive glossary at the end of the book. To conclude, Future Ready is a perfect complement to a more technical forecasting by: Also, Dr. Millett's book corrects the common misunderstanding that projecting numbers from the past into the future is sufficient for forecastingit is not. By achieving a balance between theory and practice, this book serves as an introduction to the theoretical basis and principles of futuring while providing a practical guide for applying those concepts in the fields of business, Cited by: 3. Publisher Summary. This chapter provides an overview of the use of survey data. It discusses that a sensible way of gathering data that may well have a useful forecasting potential is to conduct a survey of households or firms and ask about their plans for future spending, manpower needs, or other resource requirements. The system generates summary forecasts that are based on data in the Forecast Summary File table (F). Use the Refresh Actuals program (R) to copy the sales order history (type AA) from the Sales Order History File table (F) to table F, based upon criteria that you specify.

Chapter Summary. To make a forecast, professionals depend on various models at their disposal. The choice of a model depends on a number of factors such the time horizon, data pattern, the experience of the forecaster, and an evaluation technique. The time horizon refers to the length of time that a forecast Size: 3MB.   Summary: Approaches to Forecasting: A Tutorial. Janu Quantitative forecasting techniques are best-suited to situations where historical data exists and the past is considered a good indicator of what will happen in the future. Qualitative forecasting methods are used when the situation is vague and little data exists from which Author: SCRC SME. 1 Executive Summary Based on the forecasted financial statements of Wal-Mart, I perform the following the ratios to analyze the profitability and risk of the company in five years. Profitability Profit Margin % % % % % Asset Turnover Return on Assets % % % % % Profit margin remains above industry average of . Forecasting, planning and goals. Forecasting is a common statistical task in business, where it helps to inform decisions about the scheduling of production, transportation and personnel, and provides a guide to long-term strategic planning. However, business forecasting is often done poorly, and is frequently confused with planning and goals. They are three .

With simple exponential smoothing, the forecast for any period in the future (for example, the pth period beyond the current period) is the same value: F t+p = F t+1, for p > 1. (It is likely that this forecast will decline in accuracy the further into the future that it is projected.) ating Multiplicative Seasonal Indexes. Excerpts from Survival Statistics - an applied statistics book for graduate students. Most people view the world as consisting of a large number of alternatives. Futures research evolved as a way of examining the alternative futures and identifying the most probable. Forecasting is designed to help decision making and planning in the present. 1 Introduction to forecasting Introduction Brief bio • Director of Monash University’s Business & Economic Forecasting Unit •Editor-in-Chief, International Journal of Forecasting How my forecasting methodology is used. This paper describes the Intermediate Future Forecasting System (IFFS), which is the model used to forecast integrated energy markets by the U.S. Energy Information The current EIA integrated modeling system is the Intermediate Future Forecasting System (IFFS), developed in